Ubiquitous Computing environments require dynamic adaptable application and network services because of their need to adapt to rapidly change context e.g. new users and devices being introduced, changes in connectivity, changes in user needs and requirements, etc. To support such environments, management systems need to dynamically adapt service execution and behaviour. One of the approaches be...

We first discuss the Quality of Service (QoS) of a rate adaptive stream and argue that the time-average mean rate is a reasonable first-order proxy for user perceived performance. Next, we discuss general system level tradeoffs associated with rate adaptive streams. We then identify optimal adaptation policies under different assumptions of available information. The optimal policies make clear...

In adaptive query processing, query plans are improved at runtime by means of feedback. In the very flexible approach based on so-called eddies, query execution is treated as a process of routing tuples to the query operators that combine to compute a query. This makes it possible to alter query plans at the granularity of tuples. Further, the complex task of searching the query plan space for ...

we can improve the performance of distributed systems by load sharing (i.e., distribute load from heavily loaded nodes to lightly loaded ones). Adaptive load sharing policies take system state into account in making job distribution decisions. We can maintain the state information in one of two basic ways: distributed or centralized. This paper discuss on distributed systems which rely on eithe...

Adaptive generation of referring expressions in dialogues is beneficial in terms of grounding between the dialogue partners. However, handcoding adaptive REG policies is hard. We present a reinforcement learning framework to automatically learn an adaptive referring expression generation policy for spoken dialogue systems.

Adaptive generation of referring expressions in dialogues is beneficial in terms of grounding between the dialogue partners. However, handcoding adaptive REG policies is hard. We present a reinforcement learning framework to automatically learn an adaptive referring expression generation policy for spoken dialogue systems.

Recent research has shown that near optimal performance can be achieved by adaptive block replacement policies that use user-level hints regarding the block reference pattern. However, obtaining user-level hints requires considerable effort from users making it difficult to apply adaptive replacement policies to diverse kinds of applications. We propose a new adaptive block management scheme th...

■ Abstract We explore the social dimension that enables adaptive ecosystem-based management. The review concentrates on experiences of adaptive governance of socialecological systems during periods of abrupt change (crisis) and investigates social sources of renewal and reorganization. Such governance connects individuals, organizations, agencies, and institutions at multiple organizational lev...